More Years, Less Yawns: Fresh Evidence on Tiredness by Age and Other Factors

Correspondence should be addressed to Laura Kudrna, Department of Social Policy, London School of Economics and Political Science, Houghton Street, London WC2A 2AE, UK. E-mail: .
The Journals of Gerontology Series B Psychological Sciences and Social Sciences (Impact Factor: 3.21). 11/2013; 70(4). DOI: 10.1093/geronb/gbt118
Source: PubMed


Objectives.It is commonplace for people to complain about being tired. There have been actually few studies of tiredness in large general population samples, and where studies do exist, the measures often rely on external assessments. We use a diary-based method to overcome these limitations in a representative sample of U.S. residents.
Data come from the 2010 American Time Use Survey. Around 13,000 respondents provided a diary about the prior day and rated how tired they felt during selected activities. Regression analysis is used to explain variance in tiredness by age.
Regression analysis reveals that tiredness decreases with age. This relationship exists when we control for hours of sleep, gender, self-rated health, ethnic group, number of children, marital status, employment status, level of education, and the amount of time participants spent doing tiring activities.Discussion.Contrary to much previous research, tiredness decreases with age. People who are more than 65 years of age are almost one point on a 0-6 scale less tired than people aged between 15 and 24. Clinical implications and methodological limitations are discussed.

9 Reads
  • [Show abstract] [Hide abstract]
    ABSTRACT: Objectives: For the fi rst time ever, as emphasized by inclusion in the Healthy People 2020 goals, sleep health is an emphasis of national health aims. The National Healthy Sleep Awareness Project (NHSAP) was tasked to propose questions for inclusion in the next Behavioral Risk Factor Surveillance System (BRFSS), a survey that includes a number of questions that target behaviors thought to impact health, as a means to measure community sleep health. The total number of questions could not exceed fi ve, and had to include an assessment of the risk for obstructive sleep apnea (OSA). Methods: An appointed workgroup met via teleconference and face-to-face venues to develop an inventory of published survey questions being used to identify sleep health, to develop a framework on which to analyze the strengths and weaknesses of current survey questions concerning sleep, and to develop recommendations for sleep health and disease surveillance questions going forward. Results: The recommendation was to focus on certain existing BRFSS questions pertaining to sleep duration, quality, satisfaction, daytime alertness, and to add to these other BRFSS existing questions to make a modifi ed STOP-BANG questionnaire (minus the N for neck circumference) to assess for risk of OSA. Conclusions: Sleep health is an important dimension of health that has previously received less attention in national health surveys. We believe that 5 questions recommended for the upcoming BRFSS question banks will assist as important measures of sleep health, and may help to evaluate the effectiveness of interventions to improve sleep health in our nation.
    No preview · Article · Jul 2015 · Journal of clinical sleep medicine: JCSM: official publication of the American Academy of Sleep Medicine
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Background Fatigue is a common complaint after stroke. Reasons for higher prevalence are still unclear. This study aimed to determine if fatigue prevalence in stroke patients is different to that of age and gender matched general population controls, and to explore whether early motor activity was associated with reduced likelihood of fatigue three months after stroke. Methods This was a prospective multicenter cohort study of stroke patients admitted to eleven regional Norwegian hospitals, within 14 days after stroke. Stroke patients (n = 257) were age and gender matched to participants in a general population health survey (HUNT3-survey) carried out in a regional county of central Norway. The single-item fatigue questionnaire from the HUNT3-survey was administered to both groups to compare prevalence. The association between early motor activity (time in bed, time sitting out of bed, and time upright) and fatigue at three months after stroke (Fatigue Severity Scale) was tested with logistic regression. Simple models including each activity outcome, with adjustment for stroke severity and pre-stroke function, were tested, as well as a comprehensive model that included additional independent variables of depression, pain, pre-stroke fatigue, age and gender. Results Prevalence was higher after stroke compared with the general population: 31.1 % versus 10.9 %. In the simple regression models, none of the early motor activity categories were associated with fatigue three months after stroke. In the comprehensive model, depression, pain and pre-stroke fatigue were significantly associated with post-stroke fatigue. Time in bed through the daytime during hospital stay approached statistical significance (p = 0.058) with an odds ratio for experiencing fatigue of 1.02 (95 % CI 1.00-1.04) for each additional 5.4 minutes in bed. Conclusions Stroke patients had higher prevalence of fatigue three months after stroke than the age and gender matched general population sample, which may be partly explained by the stroke population being in poorer health overall. The relationship between early motor activity (and inactivity) and fatigue remains unclear. Further research, which may help drive development of new treatments to target this challenging condition, is needed.
    Full-text · Article · Oct 2015 · BMC Neurology